jackstrap
Correcting Nonparametric Frontier Measurements for Outliers
Provides method used to check whether data have outlier in efficiency measurement of big samples with data envelopment analysis (DEA). In this jackstrap method, the package provides two criteria to define outliers: heaviside and k-s test. The technique was developed by Sousa and Stosic (2005) "Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers." <doi:10.1007/s11123-005-4702-4>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | jackstrap_0.1.0.tar.gz |
118.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | jackstrap_0.1.0.tar.gz |
118.3 KiB |
0.1.0 |
rolling source/ R- | jackstrap_0.1.0.tar.gz |
165.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | jackstrap_0.1.0.tar.gz |
118.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | jackstrap_0.1.0.tar.gz |
118.3 KiB |
0.1.0 |
latest source/ R- | jackstrap_0.1.0.tar.gz |
165.0 KiB |
0.1.0 |
2026-04-26 source/ R- | jackstrap_0.1.0.tar.gz |
165.0 KiB |
0.1.0 |
2026-04-23 source/ R- | jackstrap_0.1.0.tar.gz |
165.0 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | jackstrap_0.1.0.zip |
120.1 KiB |
0.1.0 |
2025-04-20 source/ R- | jackstrap_0.1.0.tar.gz |
165.0 KiB |